Exposure to Indoor CO2 and Human Response

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality and Human Health".

Deadline for manuscript submissions: closed (30 March 2024) | Viewed by 970

Special Issue Editors


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Guest Editor
School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
Interests: built environment; indoor environmental quality; green buildings; occupant health and cognition; human exposure assessment
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Guest Editor
Department of Industrial Engineering, Tsinghua University, Beijing 100084, China
Interests: indoor environmental quality; human factor analysis; mental workload; human psych-physiological response; environmental quality assessment

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Guest Editor
School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China
Interests: indoor air quality; particulate matter; human response; ventilation; sustainable city; energy efficiency
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Indoor carbon dioxide (CO2) is considered not only a proxy for ventilation but also a key pollutant affecting indoor air quality and occupant health. Indoor CO2 concentrations have increased in recent decades due to elevated atmospheric CO2 and inadequate fresh air ventilation in some restricted spaces (such as airplanes, submarines, vehicles, etc.). This has prompted extensive research into the association between indoor CO2 and human responses, making it one of the most crucial and hotly debated topics. Acute or chronic CO2 exposure is associated with potential health risks such as hypercapnia and sick building syndrome. Moreover, elevated indoor CO2 concentrations have been demonstrated to be linked to reduced productivity, impaired cognitive performance, lower satisfaction, and physiological stress.

While the adverse effects of indoor CO2 have been extensively documented, several key scientific questions remain unanswered. These include identifying the critical concentrations of indoor CO2 that significantly affect human health, cognitive performance, and psychophysiological responses. The mediating role of psychophysiological mechanisms in understanding the indirect effects of CO2 exposure concentrations on specific task performance (e.g., cognitive function, strategic management, and supervisory operations) remains unclear. Notably, there is still a lack of scientifically sound metrics and comprehensive assessment methods for quantitatively measuring the effects of CO2 on human health and work performance.

In recognition of these research needs, this Special Issue is being organized to showcase advanced and multidisciplinary research efforts exploring the relationship between indoor CO2 and human responses, including but not limited to health, comfort, cognitive function, task performance, and psychophysiological changes. Original or reviewed results from field or controlled measurements, subjective surveys, epidemiological models, and numerical simulations are all welcome contributions. Authors are encouraged to provide scientific evidence or practical suggestions to guide the development of new policies and standards for creating healthier and more productive indoor environments.

Dr. Xiaodong Cao
Dr. Jie Zhang
Dr. Jianlin Ren
Guest Editors

Manuscript Submission Information

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Keywords

  • indoor air quality
  • CO2
  • ventilation
  • cognitive function
  • psychological response
  • physiological stress
  • work performance
  • mental health
  • exposure assessment

Published Papers (1 paper)

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Research

15 pages, 4571 KiB  
Article
Identification of Pollution Sources in Urban Wind Environments Using the Regularized Residual Method
by Shibo Tang, Xiaotong Xue, Fei Li, Zhonglin Gu, Hongyuan Jia and Xiaodong Cao
Atmosphere 2023, 14(12), 1786; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos14121786 - 04 Dec 2023
Viewed by 790
Abstract
The scale of cities is increasing with continuous urban development. Effective methods, such as the source term estimation (STE) method, must be established for identifying the sources of air pollution in cities to prevent economic losses and casualties caused by pollutant leakage. Herein, [...] Read more.
The scale of cities is increasing with continuous urban development. Effective methods, such as the source term estimation (STE) method, must be established for identifying the sources of air pollution in cities to prevent economic losses and casualties caused by pollutant leakage. Herein, methods for optimizing sensor configuration and identifying pollution sources are discussed, and an STE method based on the regularized minimum residual method is proposed. Urban wind environments were simulated using a computational fluid dynamics (CFD) model, and the results were compared with experimental data pertaining to the wind tunnel of an architectural ensemble to verify the model’s accuracy. The sensor layout was optimized using the simulated annealing (SA) algorithm and adjoint entropy, and the relationship between sensor responses and potential pollution sources was established using the CFD model. Pollutant concentrations measured using sensors were combined with the regularization method to extrapolate the pollution source strength, and the regularized minimum residual method was used to obtain the locations of the real pollution sources. The results show that compared with the Bayesian methods, the proposed method can more accurately identify pollution sources (100%), with a smaller source strength error of 2.01% for constant sources and one of 2.62% for attenuation sources. Full article
(This article belongs to the Special Issue Exposure to Indoor CO2 and Human Response)
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